def test_dam_break_dry(self):
if verbose:
print
print indent + 'Running simulation script'
s = 'numerical_dam_break_dry.py'
res = anuga.run_anuga_script(s, args=args)
# Test that script runs ok
assert res == 0
if verbose:
print indent + 'Testing accuracy'
import anuga.utilities.plot_utils as util
import analytical_dam_break_dry as analytic
p_st = util.get_output('dam_break.sww')
p2_st = util.get_centroids(p_st)
v = p2_st.y[10]
v2 = (p2_st.y == v)
h0 = 1.0
h1 = 10.0
# calculate analytic values at various time slices
h10, u10 = analytic.vec_dam_break(p2_st.x[v2],
p2_st.time[10],
h0=h0,
h1=h1)
h50, u50 = analytic.vec_dam_break(p2_st.x[v2],
p2_st.time[50],
h0=h0,
h1=h1)
h100, u100 = analytic.vec_dam_break(p2_st.x[v2],
p2_st.time[100],
h0=h0,
h1=h1)
#Test stages
# Calculate L^1 error at times corrsponding to slices 10, 50 and 100
eh10 = numpy.sum(numpy.abs(p2_st.stage[10, v2] - h10)) / numpy.sum(
numpy.abs(h10))
eh50 = numpy.sum(numpy.abs(p2_st.stage[50, v2] - h50)) / numpy.sum(
numpy.abs(h50))
eh100 = numpy.sum(numpy.abs(p2_st.stage[100, v2] - h100)) / numpy.sum(
numpy.abs(h100))
print
print indent + 'Errors in stage: ', eh10, eh50, eh100
#Test xmomenta
# Calculate L^1 error at times corrsponding to slices 10, 50 and 100
euh10 = numpy.sum(
numpy.abs(p2_st.xmom[10, v2] - u10 * h10)) / numpy.sum(
numpy.abs(u10 * h10))
euh50 = numpy.sum(
numpy.abs(p2_st.xmom[50, v2] - u50 * h50)) / numpy.sum(
numpy.abs(u50 * h50))
euh100 = numpy.sum(
numpy.abs(p2_st.xmom[100, v2] - u100 * h100)) / numpy.sum(
numpy.abs(u100 * h100))
print indent + 'Errors in xmomentum: ', euh10, euh50, euh100
#Test xvelocity
# Calculate L^1 error at times corrsponding to slices 10, 50 and 100
eu10 = numpy.sum(numpy.abs(p2_st.xvel[10, v2] - u10)) / numpy.sum(
numpy.abs(u10))
eu50 = numpy.sum(numpy.abs(p2_st.xvel[50, v2] - u50)) / numpy.sum(
numpy.abs(u50))
eu100 = numpy.sum(numpy.abs(p2_st.xvel[100, v2] - u100)) / numpy.sum(
numpy.abs(u100))
print indent + 'Errors in xvelocity: ', eu10, eu50, eu100
assert eh10 < 0.1, 'Relative L^1 error %g greater than 0.1' % eh10
assert eh50 < 0.1, 'Relative L^1 error %g greater than 0.1' % eh50
assert eh100 < 0.15, 'Relative L^1 error %g greater than 0.15' % eh100
assert euh10 < 0.25, 'Relative L^1 error %g greater than 0.25' % euh10
assert euh50 < 0.25, 'Relative L^1 error %g greater than 0.25' % euh50
assert euh100 < 0.25, 'Relative L^1 error %g greater than 0.25' % euh100
assert eu10 < 2.0, 'Relative L^1 error %g greater than 2.0' % eu10
assert eu50 < 2.0, 'Relative L^1 error %g greater than 2.0' % eu50
assert eu100 < 0.3, 'Relative L^1 error %g greater than 0.3' % eu100
p_st = util.get_output('dam_break.sww')
p2_st=util.get_centroids(p_st)
v = p2_st.y[10]
v2=numpy.argwhere(p2_st.y==v).flatten()
iv2 = numpy.argsort(p2_st.x[v2])
v2 = v2[iv2]
#p_dev = util.get_output('dam_break.sww', 0.001)
#p2_dev=util.get_centroids(p_dev, velocity_extrapolation=True)
h0 = 1e-9
h1 = 10.0
h10,u10 = analytic.vec_dam_break(p2_st.x[v2], p2_st.time[10], h0=h0, h1=h1)
h50,u50 = analytic.vec_dam_break(p2_st.x[v2], p2_st.time[50], h0=h0, h1=h1)
#h100,u100 = analytic.vec_dam_break(p2_st.x[v2], p2_st.time[100], h0=h0, h1=h1)
#Plot stages
pyplot.clf()
pyplot.plot(p2_st.x[v2], p2_st.stage[10,v2],'b.', label='numerical t=10')
pyplot.plot(p2_st.x[v2], p2_st.stage[50,v2], 'g.', label ='numerical t=50')
#pyplot.plot(p2_st.x[v2], p2_st.stage[100,v2], 'b.')
pyplot.plot(p2_st.x[v2], h10,'r-', label='analytical t=10')
pyplot.plot(p2_st.x[v2], h50,'y-', label='analytical t=50')
#pyplot.plot(p2_st.x[v2], h100,'r.')
pyplot.title('Stage at several instants in time')
pyplot.legend(loc=3)
pyplot.xlabel('Xposition')
pyplot.ylabel('Stage')
def test_dam_break_dry(self):
if verbose:
print
print indent+'Running simulation script'
s = 'numerical_dam_break_dry.py'
res = anuga.run_anuga_script(s,args=args)
# Test that script runs ok
assert res == 0
if verbose:
print indent+'Testing accuracy'
import anuga.utilities.plot_utils as util
import analytical_dam_break_dry as analytic
p_st = util.get_output('dam_break.sww')
p2_st=util.get_centroids(p_st)
v = p2_st.y[10]
v2=(p2_st.y==v)
h0 = 1.0
h1 = 10.0
# calculate analytic values at various time slices
h10,u10 = analytic.vec_dam_break(p2_st.x[v2], p2_st.time[10], h0=h0, h1=h1)
h50,u50 = analytic.vec_dam_break(p2_st.x[v2], p2_st.time[50], h0=h0, h1=h1)
h100,u100 = analytic.vec_dam_break(p2_st.x[v2], p2_st.time[100], h0=h0, h1=h1)
#Test stages
# Calculate L^1 error at times corrsponding to slices 10, 50 and 100
eh10 = numpy.sum(numpy.abs(p2_st.stage[10,v2]-h10))/numpy.sum(numpy.abs(h10))
eh50 = numpy.sum(numpy.abs(p2_st.stage[50,v2]-h50))/numpy.sum(numpy.abs(h50))
eh100 = numpy.sum(numpy.abs(p2_st.stage[100,v2]-h100))/numpy.sum(numpy.abs(h100))
print
print indent+'Errors in stage: ',eh10, eh50, eh100
#Test xmomenta
# Calculate L^1 error at times corrsponding to slices 10, 50 and 100
euh10 = numpy.sum(numpy.abs(p2_st.xmom[10,v2]-u10*h10))/numpy.sum(numpy.abs(u10*h10))
euh50 = numpy.sum(numpy.abs(p2_st.xmom[50,v2]-u50*h50))/numpy.sum(numpy.abs(u50*h50))
euh100 = numpy.sum(numpy.abs(p2_st.xmom[100,v2]-u100*h100))/numpy.sum(numpy.abs(u100*h100))
print indent+'Errors in xmomentum: ',euh10, euh50, euh100
#Test xvelocity
# Calculate L^1 error at times corrsponding to slices 10, 50 and 100
eu10 = numpy.sum(numpy.abs(p2_st.xvel[10,v2]-u10))/numpy.sum(numpy.abs(u10))
eu50 = numpy.sum(numpy.abs(p2_st.xvel[50,v2]-u50))/numpy.sum(numpy.abs(u50))
eu100 = numpy.sum(numpy.abs(p2_st.xvel[100,v2]-u100))/numpy.sum(numpy.abs(u100))
print indent+'Errors in xvelocity: ', eu10, eu50, eu100
assert eh10 < 0.1, 'Relative L^1 error %g greater than 0.1'% eh10
assert eh50 < 0.1, 'Relative L^1 error %g greater than 0.1'% eh50
assert eh100 < 0.15, 'Relative L^1 error %g greater than 0.15'% eh100
assert euh10 < 0.25, 'Relative L^1 error %g greater than 0.25'% euh10
assert euh50 < 0.25, 'Relative L^1 error %g greater than 0.25'% euh50
assert euh100 < 0.25, 'Relative L^1 error %g greater than 0.25'% euh100
assert eu10 < 2.0, 'Relative L^1 error %g greater than 2.0'% eu10
assert eu50 < 2.0, 'Relative L^1 error %g greater than 2.0'% eu50
assert eu100 < 0.3, 'Relative L^1 error %g greater than 0.3'% eu100
p_st = util.get_output('dam_break.sww')
p2_st = util.get_centroids(p_st)
v = p2_st.y[10]
v2 = numpy.argwhere(p2_st.y == v).flatten()
iv2 = numpy.argsort(p2_st.x[v2])
v2 = v2[iv2]
#p_dev = util.get_output('dam_break.sww', 0.001)
#p2_dev=util.get_centroids(p_dev, velocity_extrapolation=True)
h0 = 1e-9
h1 = 10.0
h10, u10 = analytic.vec_dam_break(p2_st.x[v2], p2_st.time[10], h0=h0, h1=h1)
h50, u50 = analytic.vec_dam_break(p2_st.x[v2], p2_st.time[50], h0=h0, h1=h1)
#h100,u100 = analytic.vec_dam_break(p2_st.x[v2], p2_st.time[100], h0=h0, h1=h1)
#Plot stages
pyplot.clf()
pyplot.plot(p2_st.x[v2], p2_st.stage[10, v2], 'b.', label='numerical t=10')
pyplot.plot(p2_st.x[v2], p2_st.stage[50, v2], 'g.', label='numerical t=50')
#pyplot.plot(p2_st.x[v2], p2_st.stage[100,v2], 'b.')
pyplot.plot(p2_st.x[v2], h10, 'r-', label='analytical t=10')
pyplot.plot(p2_st.x[v2], h50, 'y-', label='analytical t=50')
#pyplot.plot(p2_st.x[v2], h100,'r.')
pyplot.title('Stage at several instants in time')
pyplot.legend(loc=3)
pyplot.xlabel('Xposition')
pyplot.ylabel('Stage')